#
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from npu_bridge.npu_init import *
from . import generic, tensor_ops, image_utils
from . import generators, model_helper, applications

# # 添加语句：import tensorflow.python.keras as keras
# import tensorflow.python.keras as keras
from keras import backend as K
if K.backend()=='tf': 
    K.set_image_dim_ordering("tf")

# remove tensorflow warning
import logging
class WarningFilter(logging.Filter):
    def filter(self, record):
        msg = record.getMessage()
        tf_warning = 'retry (from tensorflow.contrib.learn.python.learn.datasets.base)' in msg
        return not tf_warning           
logger = logging.getLogger('tensorflow')
logger.addFilter(WarningFilter())

# if too many warnings from scikit-image 
import warnings
warnings.filterwarnings("ignore")

print('loaded kutils')
